Triple
T16238805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turner Bequest |
E394184
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | The Shipwreck |
E418426
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: The Shipwreck | Statement: [Turner Bequest, hasPart, The Shipwreck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Shipwreck Context triple: [Turner Bequest, hasPart, The Shipwreck]
-
A.
The Shipwreck
chosen
The Shipwreck is a dramatic 18th-century maritime painting by French artist Joseph Vernet, renowned for its vivid depiction of storm-tossed seas and human struggle against nature.
-
B.
The Ship
The Ship is an informal nickname for the TARDIS, the Doctor’s time-traveling spacecraft and time machine in the long-running British science fiction series Doctor Who.
-
C.
The Ship
"The Ship" is a World War II naval novel by C. S. Forester that vividly portrays life aboard a British warship during a Mediterranean convoy battle.
-
D.
The Mystery Ship
"The Mystery Ship" is a 1917 American silent adventure film serial starring Japanese actor Sessue Hayakawa.
-
E.
The Isle of Lost Ships
The Isle of Lost Ships is a silent-era adventure film set on a mysterious, perilous island where derelict vessels and their stranded crews converge.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2455c7a3c81909e3b42edf03be43e |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000edaf76c8190acc01f58845e570a |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.